V
Vladimir Brusic
Researcher at Nazarbayev University
Publications - 224
Citations - 14646
Vladimir Brusic is an academic researcher from Nazarbayev University. The author has contributed to research in topics: Epitope & Antigen. The author has an hindex of 50, co-authored 212 publications receiving 13727 citations. Previous affiliations of Vladimir Brusic include Griffith University & Harvard University.
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Journal ArticleDOI
Computational binding assays of antigenic peptides
Vladimir Brusic,John Zeleznikow +1 more
TL;DR: The requirements for validation and assessment of computer models that are used for the efficient determination of peptides that bind MHC molecules and T-cell epitopes are described.
Journal Article
FLAVIdB: A data mining system for knowledge discovery in flaviviruses with direct applications in immunology and vaccinology.
TL;DR: FLAVIdB represents a new generation of databases in which data and tools are integrated into a data mining infrastructures specifically designed to aid rational vaccine design by discovery of vaccine targets.
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Data mining of cancer vaccine trials: a bird's-eye view
TL;DR: A data mining approach that enables rapid extraction of complex data from the major clinical trial repository is developed that represents a cost-effective means of making informed decisions about future cancer vaccine clinical trials.
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Bioinformatics for study of autoimmunity
TL;DR: This paper reviews advances in the field of immunoinformatics pertinent to autoimmunity research including databases, tools in genomics and proteomics, tools for study of B- and T-cell epitopes, integrative approaches, and web servers.
Journal ArticleDOI
Computational Simulations of the Immune System for Personalized Medicine: State of the Art and Challenges
Francesco Pappalardo,Ping Zhang,Mark D. Halling-Brown,Kaye E. Basford,Antonio Scalia,Adrian J. Shepherd,David S. Moss,Santo Motta,Vladimir Brusic +8 more
TL;DR: The ImmunoGrid simulator uses Grid technologies, enabling computational simulation of the immune system at the natural scale, perform a large number of simulated experiments, capture the diversity of theimmune system between individuals, and provide a basis for therapeutic approaches tailored to the individual genetic make-up.